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SWAT: enabling wireless network measurements

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Conference On Embedded Networked Sensor Systems archive
Proceedings of the 6th ACM conference on Embedded network sensor systems table of contents

Raleigh, NC, USA

DEMONSTRATION SESSION: Demonstrations table of contents

Pages 395-396

Year of Publication: 2008

ISBN:978-1-59593-990-6

Authors

Kannan Srinivasan	Stanford University, Stanford, CA, USA
Maria A. Kazandjieva	Stanford University, Stanford, CA, USA
Mayank Jain	Stanford University, Stanford, CA, USA
Edward Kim	Stanford University, Stanford, CA, USA
Philip Levis	Stanford University, Stanford, CA, USA

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGOPS: ACM Special Interest Group on Operating Systems
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems

Publisher

ACM New York, NY, USA

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ABSTRACT

Measuring low-level wireless network properties allows researchers to understand how protocols and applications perform in different environments. In this demo, we present SWAT - a software tool that automates gathering and analysis of network measurements. SWAT provides an interface for configuring experimental parameters in a network. It collects raw packet statistics such as the received signal strength and chip error, and provides modules for calculating and visualizing various metrics derived from these statistics.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	A Community Resource for Archiving Wireless Data At Dartmouth. http://crawdad.cs.dartmouth.edu.
	2	Daniel Aguayo , John Bicket , Sanjit Biswas , Glenn Judd , Robert Morris, Link-level measurements from an 802.11b mesh network, ACM SIGCOMM Computer Communication Review, v.34 n.4, October 2004
	3	Alberto Cerpa , Jennifer L. Wong , Miodrag Potkonjak , Deborah Estrin, Temporal properties of low power wireless links: modeling and implications on multi-hop routing, Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing, May 25-27, 2005, Urbana-Champaign, IL, USA [doi>10.1145/1062689.1062741]
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	5	D. Son, B. Krishnamachari, and J. Heidemann. Experimental analysis of concurrent packet transmissions in low-power wireless networks. In SIGCOMM, 2006.
	6	Kannan Srinivasan , Maria A. Kazandjieva , Saatvik Agarwal , Philip Levis, The β-factor: measuring wireless link burstiness, Proceedings of the 6th ACM conference on Embedded network sensor systems, November 05-07, 2008, Raleigh, NC, USA [doi>10.1145/1460412.1460416]
	7	Jerry Zhao , Ramesh Govindan, Understanding packet delivery performance in dense wireless sensor networks, Proceedings of the 1st international conference on Embedded networked sensor systems, November 05-07, 2003, Los Angeles, California, USA [doi>10.1145/958491.958493]